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Browse files- .DS_Store +0 -0
- README.md +21 -1
- a2c_mountain_car_cont_actor.pt +3 -0
- a2c_mountain_car_cont_critic.pt +3 -0
- hyperparameters.json +1 -0
- replay.mp4 +0 -0
- screen.jpg +0 -0
.DS_Store
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README.md
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---
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-
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---
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---
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tags:
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- MountainCarContinuous-v0
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- a2c
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- a2c-learning
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- custom-implementation
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model-index:
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- name: A2C-MountainCarContinuous-v0
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results:
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- task:
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type: reinforcement-learning
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name: reinforcement-learning
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dataset:
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name: MountainCarContinuous-v0
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type: MountainCarContinuous-v0
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metrics:
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- type: mean_reward
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value: 90.98 +/- 3.32
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name: mean_reward
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verified: false
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---
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# **A2C** Agent playing **MountainCarContinuous-v0**
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a2c_mountain_car_cont_actor.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:54c30df9df20577511a14f28c464f22775dd5a449f999b7ffbeee7b4b24d7c38
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size 8695
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a2c_mountain_car_cont_critic.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3179bb4c7a4290df0ecebd2839e121b16175f146eab4c838901598fb62b4da2a
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size 6941
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hyperparameters.json
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{"env_id": "MountainCarContinuous-v0", "mean_reward": 90.982, "n_evaluation_episodes": 1000, "eval_datetime": "2023-02-02T09:03:47.485253"}
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replay.mp4
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screen.jpg
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